IDEAS home Printed from https://ideas.repec.org/p/tse/wpaper/25843.html
   My bibliography  Save this paper

Cartel Pricing Dynamics, Price Wars and Cartel Breakdown

Author

Listed:
  • Manganelli, Anton-Giulio

Abstract

This paper gives an unified explanation of some of the most widely known facts of the cartel literature: prices gradually rise, then remain constant, there can be price wars and some cartels break down. In this model consumers are loss averse and efficiency of a competitive fringe is not publicly observable. In the best collusive equilibrium, the price expectation can be so low that loss aversion makes consumers not buy at the maximal collusive price: firms then set a lower price that rises in time with consumers’ expectations. This increasing price path is bounded from above by the presence of the fringe. If the fringe sets a low price during a sufficient number of periods, there can be price wars and collusion can eventually break down.

Suggested Citation

  • Manganelli, Anton-Giulio, 2012. "Cartel Pricing Dynamics, Price Wars and Cartel Breakdown," TSE Working Papers 12-309, Toulouse School of Economics (TSE).
  • Handle: RePEc:tse:wpaper:25843
    as

    Download full text from publisher

    File URL: http://www.tse-fr.eu/sites/default/files/medias/doc/wp/bee/wp_tse_309.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michael S. Haigh & John A. List, 2005. "Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis," Journal of Finance, American Finance Association, vol. 60(1), pages 523-534, February.
    2. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    3. Botond Kőszegi & Paul Heidhues, 2008. "Competition and Price Variation When Consumers Are Loss Averse," American Economic Review, American Economic Association, vol. 98(4), pages 1245-1268, September.
    4. Abrantes-Metz, Rosa M. & Froeb, Luke M. & Geweke, John & Taylor, Christopher T., 2006. "A variance screen for collusion," International Journal of Industrial Organization, Elsevier, vol. 24(3), pages 467-486, May.
    5. Rotemberg, Julio J & Saloner, Garth, 1986. "A Supergame-Theoretic Model of Price Wars during Booms," American Economic Review, American Economic Association, vol. 76(3), pages 390-407, June.
    6. Michihiro Kandori, 1991. "Correlated Demand Shocks and Price Wars During Booms," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(1), pages 171-180.
    7. Levenstein, Margaret C, 1997. "Price Wars and the Stability of Collusion: A Study of the Pre-World War I Bromine Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 45(2), pages 117-137, June.
    8. Daniel Kahneman & Jack L. Knetsch & Richard H. Thaler, 1991. "Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 193-206, Winter.
    9. David Gill & Victoria Prowse, 2012. "A Structural Analysis of Disappointment Aversion in a Real Effort Competition," American Economic Review, American Economic Association, vol. 102(1), pages 469-503, February.
    10. Besanko, David & Spulber, Daniel F, 1989. "Antitrust Enforcement under Asymmetric Information," Economic Journal, Royal Economic Society, vol. 99(396), pages 408-425, June.
    11. Connor, John M., 1998. "What Can We Learn From The Adm Global Price Conspiracies?," Economic and Policy Implications of Structural Realignments in Food and Ag Markets: A Case Study Approach - FAMC 1998 Conference 260226, Food and Agricultural Marketing Consortium (FAMC).
    12. David Genesove & Christopher Mayer, 2001. "Loss Aversion and Seller Behavior: Evidence from the Housing Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1233-1260.
    13. Margaret C. Levenstein & Valerie Y. Suslow, 2002. "What Determines Cartel Success?," UMASS Amherst Economics Working Papers 2002-01, University of Massachusetts Amherst, Department of Economics.
    14. Margaret C. Levenstein, 1997. "Price Wars and the Stability of Collusion: A Study of the Pre‐World War I Bromine Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 45(2), pages 117-137, June.
    15. Erickson, Gary M & Johansson, Johny K, 1985. "The Role of Price in Multi-attribute Product Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(2), pages 195-199, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Karle, Heiko & Schumacher, Heiner & Vølund, Rune, 2023. "Consumer loss aversion and scale-dependent psychological switching costs," Games and Economic Behavior, Elsevier, vol. 138(C), pages 214-237.
    2. Ahrens, Steffen & Pirschel, Inske & Snower, Dennis J., 2017. "A theory of price adjustment under loss aversion," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 78-95.
    3. Paul Heidhues & Botond Köszegi, 2004. "The Impact of Consumer Loss Aversion on Pricing," CIG Working Papers SP II 2004-17, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    4. Benjamin Balzer & Antonio Rosato, 2021. "Expectations-Based Loss Aversion in Auctions with Interdependent Values: Extensive vs. Intensive Risk," Management Science, INFORMS, vol. 67(2), pages 1056-1074, February.
    5. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    6. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    7. Chaim Fershtman & Ariel Pakes, 2000. "A Dynamic Oligopoly with Collusion and Price Wars," RAND Journal of Economics, The RAND Corporation, vol. 31(2), pages 207-236, Summer.
    8. Simon Gächter & Eric J. Johnson & Andreas Herrmann, 2022. "Individual-level loss aversion in riskless and risky choices," Theory and Decision, Springer, vol. 92(3), pages 599-624, April.
    9. Aurélien Baillon & Han Bleichrodt & Vitalie Spinu, 2020. "Searching for the Reference Point," Management Science, INFORMS, vol. 66(1), pages 93-112, January.
    10. Alex Dickson & Colin Jennings & Gary Koop, 2016. "Domestic Violence and Football in Glasgow: Are Reference Points Relevant?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(1), pages 1-21, February.
    11. Daniel Gottlieb & Olivia S. Mitchell, 2020. "Narrow Framing and Long‐Term Care Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(4), pages 861-893, December.
    12. Antonio Rosato, 2016. "Selling substitute goods to loss-averse consumers: limited availability, bargains, and rip-offs," RAND Journal of Economics, RAND Corporation, vol. 47(3), pages 709-733, August.
    13. Aurélien Baillon & Han Bleichrodt & Vitalie Spinu, 2020. "Searching for the Reference Point," Management Science, INFORMS, vol. 66(1), pages 93-112, January.
    14. de Roos, Nicolas, 2004. "A model of collusion timing," International Journal of Industrial Organization, Elsevier, vol. 22(3), pages 351-387, March.
    15. Pesendorfer, Martin & Gentry, Matthew, 2018. "Price Reference Effects in Consumer Demand," CEPR Discussion Papers 13382, C.E.P.R. Discussion Papers.
    16. Bolotova, Yuliya & Connor, John M. & Miller, Douglas J., 2008. "The impact of collusion on price behavior: Empirical results from two recent cases," International Journal of Industrial Organization, Elsevier, vol. 26(6), pages 1290-1307, November.
    17. Rosato, Antonio, 2017. "Sequential negotiations with loss-averse buyers," European Economic Review, Elsevier, vol. 91(C), pages 290-304.
    18. Simon Gaechter & Eric Johnson & Andreas Herrmann, 2007. "Individual-Level Loss Aversion In Riskless And Risky Choices," Discussion Papers 2007-02, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    19. Benjamin Balzer & Antonio Rosato, 2018. "Expectations-Based Loss Aversion in Common-Value Auctions: Extensive vs. Intensive Risk," Working Paper Series 50, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    20. Joseph E. Harrington, Jr, 2005. "Detecting Cartels," Economics Working Paper Archive 526, The Johns Hopkins University,Department of Economics.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tse:wpaper:25843. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/tsetofr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.